LAS Data Scientists use analytics and insights to support operational service delivery and provide evidence for business and strategic decision making. This role will be instrumental in bringing together our datasets through the use of mathematical models, dynamic reporting, and creative visualisation, to drive forward our ambition of making the LAS a world-class service. Working on a variety of projects across the organisation, the role will include many aspects of data science, from algorithm development and implementation of modelling methods, to data engineering and the application of advanced statistical techniques. Recommendations derived from your work will shape the delivery of an evolving service in a challenging healthcare environment. This role will also involve a mixture of home and office working.
Skills
An exciting opportunity has arisen for a post as a Data Scientist within the Forecasting & Planning team. The successful candidate will need to come to the office 3 days per week. You will join an enthusiastic and technically-minded team as part of a high profile and influential organisation. This is a great opportunity for someone interested in using their data science skillset to tackle urgent challenges facing critical public services. The role also involves communicating with colleagues from across the strategic, operational and executive teams, so confidence in presenting complex findings to non-statistical audiences is essential. The ideal candidate will have knowledge of areas such as:
- Forecasting and time-series modelling
- Supervised & unsupervised learning
- Programming (R and/or Python, SQL)
- R shiny app development
- Data visualisation and reporting
- Linux operating system
London Ambulance Service NHS Trust is the busiest ambulance Trust in the UK. We are seeking someone who will fit with the Trust values of being respectful, professional, innovative and collaborative. The team is well established in the organisation and central to strategic and operational planning. We are part of the wider Performance and Analytics directorate who together cover data quality, business intelligence, and forecasting and planning for urgent and emergency healthcare services. The directorate is key to ensuring that LAS is a data driven organisation, with decisions being informed by timely and high quality analysis.
Annual leave starts at 27 days rising to 33 days, plus bank holidays, in line with Agenda for Change. Employees can access Blue Light (emergency services) discounts as well as NHS discount schemes.
For further details / informal visits contact: Name: Nic Daw Job title: Director of Performance Email address: nic.daw@nhs.net Telephone number: 07867 360594
